ML Infrastructure Engineer
AI summary of the role
Gridware seeks a Senior ML Infrastructure Engineer to build and scale the infrastructure for deploying and monitoring ML models that detect grid hazards.
What you’ll do
- Design, build, and maintain infrastructure for reliable, scalable ML model deployment to production.
- Develop monitoring and observability systems for model performance, data drift, data quality, and system health.
- Create end-to-end testing frameworks and simulation environments to validate models and pipelines.
- Collaborate with Data Engineering and Platform Engineering to integrate ML systems with broader infrastructure.
What you’ll bring
- 5+ years of experience building production ML infrastructure.
- Strong software engineering skills and proficiency in Python.
- Experience with AWS and Kubernetes.
- Familiarity with feature stores, model registries, or centralized metadata systems (e.g., MLFlow).
Technologies
Python · AWS · Kubernetes · MLFlow · feature stores · model registries · CI/CD · monitoring · observability · data drift
About Gridware
Gridware sells pole-mounted sensing and analytics systems that help utilities detect, localize, and classify grid hazards in real time.
Series B
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io. Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve
More from the job description
About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io. Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers. Responsibilities Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production. Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health. Create and maintain end-to-end testin [... source excerpt omitted ...] standards. Improve CI/CD pipelines for ML workloads, ensuring reproducibility, safe rollout, and automated rollback strategies. Required Skills 5+ years of experience building production ML infrastructure Strong software engineering skills and proficiency in Python Experience with cloud platforms (AWS) and container orchestration (Kubernetes) Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow) **At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in
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